네트워크 분석과 LDA 토픽 모델링을 활용한 건강한 레스토랑의 지각된 건강성 요인

This study aimed to identify the factors contributing to perceived healthiness by analyzing consumer reviews of healthy restaurants. While previous studies have primarily focused on the healthiness of food products, comprehensive research from the perspective of restaurants through online review analysis is limited. To achieve this, co-occurrence network analysis and LDA topic modeling, methods of text mining, were used to investigate consumers’ health-related perceptions and preferences for healthy restaurants based on a large dataset of online reviews. The analysis revealed that consumers emphasize various health-related factors such as taste, ingredient categories, freshness, price, nutritional content, healthy options, and menu diversity when choosing healthy restaurants. These factors significantly influence the evaluation and selection of restaurants. Notably, it was found that the taste of food offered in healthy restaurants is closely linked to the perception of healthiness, highlighting the importance of a healthy taste derived from ingredients. In conclusion, this study provides practical insights into how healthy restaurants can reflect and meet consumers’ health perceptions and suggests strategic directions for the food and dining industry to respond to health trends.